{"id":"W7140152910","doi":"","title":"Regional Broadband Investigation: Needs, Opportunities, and Approaches At the Local Level and for the Calgary Region - Municipal & Regional Opportunities and Options","year":2016,"lang":"en","type":"report","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Broadband; Regional development; Information and Communications Technology; Local government; Technology transfer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002751224,0.0002315435,0.0001682217,0.00122525,0.004187345,0.005924003,0.001163327,0.00141062,0.01153841],"category_scores_gemma":[0.00469646,0.0003290049,0.0001970786,0.003221787,0.00176756,0.002412431,0.004761918,0.001708985,0.000826697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01032841,"about_ca_system_score_gemma":0.03416675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4494446,"about_ca_topic_score_gemma":0.7364032,"domain_scores_codex":[0.9980215,0.000472279,0.00005320182,0.00008071054,0.0003454664,0.001026856],"domain_scores_gemma":[0.996708,0.0007053728,0.0002978456,0.0001274552,0.001073261,0.001087998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003341913,0.0003391595,0.2996426,0.002257655,0.00006532831,0.004449285,0.1375173,0.002167608,0.005305401,0.09076925,0.1332912,0.323861],"study_design_scores_gemma":[0.00001263119,0.00008136467,0.2937117,0.001263205,0.0000411826,0.0003965509,0.5061201,0.0003475911,0.0007389361,0.003422701,0.1938214,0.00004273362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5610771,0.01658136,0.001922178,0.09285069,0.0002518593,0.0004491819,0.003119523,0.0001483261,0.3235998],"genre_scores_gemma":[0.8804505,0.01729934,0.005441535,0.004502147,0.00009044708,0.0003646548,0.001423603,0.00005078908,0.09037691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5505554,"threshold_uncertainty_score":0.8936571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6657019025351621,"score_gpt":0.3644499707841571,"score_spread":0.301251931751005,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}